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Withdrawn paper proposed Q-learning routing for IoMT WBANs

By PulseAugur Editorial · [1 sources] ·

This paper, now withdrawn, proposed QQMR, a Q-learning-based routing protocol for the Internet of Medical Things (IoMT) in wireless body area networks (WBANs). QQMR aims to address challenges like dynamic topology and energy constraints by classifying data into priority levels and using adaptive queuing and fuzzy C-means clustering for optimized routing. The authors claimed experimental results showed improved packet delivery, reduced delay, and lower energy consumption compared to existing methods. AI

IMPACT This research proposed a novel routing protocol for IoMT WBANs, potentially improving efficiency and reliability in healthcare applications.

RANK_REASON The item is a withdrawn academic paper detailing a proposed routing protocol. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Withdrawn paper proposed Q-learning routing for IoMT WBANs

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mehdi Hosseinzadeh, Roohallah Alizadehsani, Amin Beheshti, Hamid Alinejad-Roknyd, Lu Chen, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Muneera Altayeb, Thantrira Porntaveetus, Sadia Din ·

    A Q-learning-based QoS-aware multipath routing protocol in IoMT-based wireless body area network

    arXiv:2604.15489v2 Announce Type: replace-cross Abstract: The Internet of Medical Things (IoMT) enables intelligent healthcare services but faces challenges such as dynamic topology, energy constraints, and diverse QoS requirements. This paper proposes QQMR, a Q-learning-based Qo…

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